Cerebry — Genai Implementation Engineer (Ai Growth Lead)

Mission

Transform Cerebry Research designs into production-grade GenAI features —retrieval-grounded, safe, observable, and ready for seamless product rollout. Architect, code, evaluate, and package GenAI services that power Cerebry end-to-end.

Why this is exciting (Ownership-Forward)

• Founder-mindset equity. We emphasize meaningful ownership from day one.
• Upside compounds with impact. Initial grants are designed for real participation in value creation, with refresh opportunities tied to scope and milestones.
• Transparent offers. We share the full comp picture (salary, equity targets, vesting cadence, strike / valuation context) during the process.
• Long-term alignment. Packages are crafted for builders who want to grow the platform and their stake as it scales.

What you’ll build

multi-tenant index management.

context / prompt management with citations and provenance.

traces with token / latency / cost attribution.

fallback and circuit strategies.

Outcomes you’ll drive

How you’ll work

measure, iterate, and document.

Tech you’ll use

targeted OSS where it fits.

test / eval harnesses.

hybrid search + rerankers.

queues.

deep experience in at least one of AWS / Azure / GCP.

What you bring

Success metrics

Hiring process

Apply

Share links to code (GitHub / PRs / gists) or architecture docs you authored, plus a brief note on a GenAI system you built—problem, approach, metrics, and improvements over time.

Email : info@cerebry.co